• DocumentCode
    1376043
  • Title

    Fitting superellipses

  • Author

    Rosin, Paul L.

  • Author_Institution
    Dept. of Comput. Sci., Cardiff Univ., UK
  • Volume
    22
  • Issue
    7
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    726
  • Lastpage
    732
  • Abstract
    In the literature, methods for fitting superellipses to data tend to be computationally expensive due to the nonlinear nature of the problem. This paper describes and tests several fitting techniques which provide different trade-offs between efficiency and accuracy. In addition, we describe various alternative error of fit measures that can be applied by most superellipse fitting methods
  • Keywords
    computer vision; curve fitting; error analysis; image representation; optimisation; accuracy; computer vision; curve fitting; efficiency; error analysis; image representation; optimisation; superellipses; Closed-form solution; Computational modeling; Curve fitting; Industrial control; Layout; Parameter estimation; Performance evaluation; Shape; Simulated annealing; Testing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.865190
  • Filename
    865190
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1376043